Podcast
Questions and Answers
Business Intelligence or BI is the Information System, Data Analytic Processor, and Decision-Making Management. Who is considered the Father of Business Intelligence? Hans Peter ______
Business Intelligence or BI is the Information System, Data Analytic Processor, and Decision-Making Management. Who is considered the Father of Business Intelligence? Hans Peter ______
Luhn
Marketing Supply chain is a step-by-step process to set the goal. Who within organizations is commonly referred to as 'The boss'? Executive ______
Marketing Supply chain is a step-by-step process to set the goal. Who within organizations is commonly referred to as 'The boss'? Executive ______
Management
SAP is composed of different modules like HR Module, Inventory module, Delivery Module, Finance Module, and purchasing module. Which department of a company is responsible for deciding if the qualification is passed by the employee? ______ Resources
SAP is composed of different modules like HR Module, Inventory module, Delivery Module, Finance Module, and purchasing module. Which department of a company is responsible for deciding if the qualification is passed by the employee? ______ Resources
Human
In 1958, IBM Researcher Hans Peter Luhn published 'A Business Intelligence System'. Both incoming and internally generated documents are automatically generated abstracted, characterized by a word pattern, and sent automatically to appropriate action points. Hans is later named the Father of Business Intelligence. Notes: IBM sells the hardware DOS – ______ Operating System
In 1958, IBM Researcher Hans Peter Luhn published 'A Business Intelligence System'. Both incoming and internally generated documents are automatically generated abstracted, characterized by a word pattern, and sent automatically to appropriate action points. Hans is later named the Father of Business Intelligence. Notes: IBM sells the hardware DOS – ______ Operating System
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The First generation of BI (1980’s-1990’s) focused on accessing and organizing data. In 1989 the term 'Business Intelligence' became widespread. What was the first computer Steve Jobs launched? ______
The First generation of BI (1980’s-1990’s) focused on accessing and organizing data. In 1989 the term 'Business Intelligence' became widespread. What was the first computer Steve Jobs launched? ______
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The Second generation of BI (2000’s) included Social Media platforms like Facebook and Twitter. Most of the organization's employees are BI developers. Large companies have some self-service BI tools. The Next Generation of BI focuses on Big Data, IoT & Machine Learning. IoT stands for Internet of Things and involves Smart Car, Smart TV, Smart ______.
The Second generation of BI (2000’s) included Social Media platforms like Facebook and Twitter. Most of the organization's employees are BI developers. Large companies have some self-service BI tools. The Next Generation of BI focuses on Big Data, IoT & Machine Learning. IoT stands for Internet of Things and involves Smart Car, Smart TV, Smart ______.
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Business Intelligence (BI) is about providing the right data to get the right information, to the right decision-makers, at the right time. BI is an enterprise-wide platform that supports reporting, analysis, and decision-making. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and ______.
Business Intelligence (BI) is about providing the right data to get the right information, to the right decision-makers, at the right time. BI is an enterprise-wide platform that supports reporting, analysis, and decision-making. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and ______.
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The purpose of Business Intelligence is to support better business decision-making. Data Management involves Reporting (visualization), Data Analysis, Managing the data before sending it to the database, and analyzing data inside the database. Data is called unorganized/raw fact, and when organized, it is called Information. Reporting Services include Data visualization techniques like Graphs, Pie Charts, and user-friendly ______.
The purpose of Business Intelligence is to support better business decision-making. Data Management involves Reporting (visualization), Data Analysis, Managing the data before sending it to the database, and analyzing data inside the database. Data is called unorganized/raw fact, and when organized, it is called Information. Reporting Services include Data visualization techniques like Graphs, Pie Charts, and user-friendly ______.
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Data Analysis involves systematically applying statistical and logical techniques to describe, illustrate, and evaluate data. It aims to find meaning in data so that the derived knowledge can be used to make informed decisions. Weighted Means and percentages are commonly used. There are different types of analysis, including Descriptive analysis, Predictive analysis, and ______ Analysis.
Data Analysis involves systematically applying statistical and logical techniques to describe, illustrate, and evaluate data. It aims to find meaning in data so that the derived knowledge can be used to make informed decisions. Weighted Means and percentages are commonly used. There are different types of analysis, including Descriptive analysis, Predictive analysis, and ______ Analysis.
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BI Questions focus on understanding what happened, predicting future outcomes, and recommending optimal courses of action. Descriptive analysis involves summarizing and describing the primary properties of a dataset. Predictive analysis uses data analysis, machine learning, and statistical models to forecast future behavior. Prescriptive Analysis aims to recommend the optimal course of action or strategy moving forward. It seeks to answer the question, “What should we ______?
BI Questions focus on understanding what happened, predicting future outcomes, and recommending optimal courses of action. Descriptive analysis involves summarizing and describing the primary properties of a dataset. Predictive analysis uses data analysis, machine learning, and statistical models to forecast future behavior. Prescriptive Analysis aims to recommend the optimal course of action or strategy moving forward. It seeks to answer the question, “What should we ______?
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